fix: centralized pipeline config type coercion to prevent string-type crashes (#2031)

* fix: coerce pipeline config types at load time using metadata definitions

Pipeline configs stored in SQLAlchemy JSON columns can have values turned
into strings after UI edits (e.g. "120" instead of 120), causing runtime
arithmetic/logic errors. Add centralized type coercion in load_pipeline()
that leverages existing metadata YAML type definitions (integer, number,
float, boolean) to convert values before they reach downstream stages.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* fix: address review - defensive getattr + add unit tests for config_coercion

- Use getattr with defaults for pipeline_config_meta_* attributes to
  avoid AttributeError when MockApplication lacks these fields
- Add 18 unit tests for config_coercion module covering all code paths

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

* feat: add dynamic form stage tracking and snapshot management

* fix: standardize string formatting in config coercion and improve logging messages

---------

Co-authored-by: KPC <kpc@kpc.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: Junyan Qin <rockchinq@gmail.com>
This commit is contained in:
doujianghub
2026-03-09 14:30:07 +08:00
committed by GitHub
parent fd15284d91
commit 9148e02679
4 changed files with 260 additions and 21 deletions
+9
View File
@@ -13,6 +13,7 @@ import langbot_plugin.api.entities.builtin.platform.message as platform_message
import langbot_plugin.api.entities.builtin.platform.events as platform_events
import langbot_plugin.api.entities.events as events
from ..utils import importutil
from .config_coercion import coerce_pipeline_config
import langbot_plugin.api.entities.builtin.provider.session as provider_session
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
@@ -420,6 +421,14 @@ class PipelineManager:
elif isinstance(pipeline_entity, dict):
pipeline_entity = persistence_pipeline.LegacyPipeline(**pipeline_entity)
coerce_pipeline_config(
pipeline_entity.config,
getattr(self.ap, 'pipeline_config_meta_trigger', {'name': 'trigger', 'stages': []}),
getattr(self.ap, 'pipeline_config_meta_safety', {'name': 'safety', 'stages': []}),
getattr(self.ap, 'pipeline_config_meta_ai', {'name': 'ai', 'stages': []}),
getattr(self.ap, 'pipeline_config_meta_output', {'name': 'output', 'stages': []}),
)
# initialize stage containers according to pipeline_entity.stages
stage_containers: list[StageInstContainer] = []
for stage_name in pipeline_entity.stages: